PLACENTAL GLUCOSE TRANSPORTER (GLUT)-1 REGULATION IN PREECLAMPSIA

PLACENTAL GLUCOSE TRANSPORTER (GLUT)-1 REGULATION IN PREECLAMPSIA Camilla Marini a,b, Benjamin P. Lüscher a,b, Marianne J€orger-Messerli a,b, Ruth Sager a,b, Xiao Huang c, Jürg Gertsch c, Matthias A. Hediger c, Christiane Albrecht c, Marc U. Baumann a,c, Daniel V. Surbek a,c a Department of Obstetrics and Gynecology, University Hospital of Bern, Bern, Switzerland, Switzerland; b Department of Clinical Research, University of Bern, Bern, Switzerland, Switzerland; c Institute for Biochemistry and Molecular Medicine, University of Bern, Bern, Switzerland, Switzerland Objectives: Glucose is a primary energy source for the fetus. The absence of significant gluconeogenesis in the fetus means that the fetal up-take of this vital nutrient is dependent on maternal supply and subsequent transplacental transport. Altered expression and/or function of placental transporters may affect the intrauterine environment and could compromise fetal and mother well-being. We speculated that pre-eclampsia (PE) impairs the placental glucose transport system. Methods: Placentae were obtained after elective caesarean sections following normal pregnancies and pre-eclamptic pregnancies. Syncytial basal membrane (BM) and apical microvillus membrane (MVM) fractions were prepared using differential ultra-centrifugation and magnesium precipitation. Protein expression was assessed by western blot analysis. mRNA levels in whole villous tissue lysate were quantified by real-time PCR. To assess glucose transport activity a radiolabeled substrate up-take assay and a transepithelial transport model using primary cytotrophoblasts were established. Results: GLUT1 mRNA expression was not changed in PE when compared to control, whereas protein expression was significantly down-regulated. Glucose up-take into syncytial microvesicles was reduced in PE compared to control. In a transepithelial transport model, phloretinmediated inhibition of GLUT1 at the apical side of primary cytotrophoblasts showed a 44% of reduction of transepithelial glucose transport at IC50. Conclusions: GLUT1 is down-regulated on protein and functional level in PE compared to control. Altering glucose transport activity by inhibition of apical GLUT-1 indicates that transplacental glucose transport might be regulated on the apical side of the syncytiotrophoblast. These results might help to understand better the regulation of GLUT1 transporter and maybe in future to develop preventive strategies to modulate the fetal programming and thereby reduce the incidence of disease for both the mother and her child later in life.

Screening, Identification and Preliminary Investigation of Target Transporters in Pregnancy Pathologies

Screening, Identification and Preliminary Investigation of Target Transporters in Pregnancy Pathologies. INTRODUCTION: Pre-eclampsia (PE), intrauterine growth restriction (IUGR) and gestational diabetes mellitus (GDM) are major sources of clinical morbidity and mortality in pregnant women worldwide. The mechanisms underlying these gestational diseases are complex and not yet fully understood, but one factor contributing to their development is impaired maternal-fetal nutrient transport. Therefore, we aimed to identify candidate membrane transporters involved in transplacental nutrient transfer associated with PE/IUGR or GDM. METHODS: Using in silico strategies, we analysed various gene expression data sets generated on different platforms focusing on solute carriers, ABC transporters and TRP channels in order to identify transporters that are differently expressed between patients and gestational age-matched controls. These bioinformatic analyses were combined with literature data to define a catalogue of target transporters that could be involved in the development of PE/IUGR or GDM. Transporters of interest were then analysed for gene expression using qRT-PCR in placental tissues of patients and controls. For validating the results on protein and functional level, we started to establish an in vitro assay using freshly isolated primary cytotrophoblast cells polarized on the Transwell® system. RESULTS: Using bioinformatics approaches, we initially identified 37 target membrane proteins which were mainly associated with the transport of amino acids, vitamins, and trace elements. At the current state of analysis, the amino acid transporters SLC7A7, SLC38A2, SLC38A5, and the thiamine transporter SLC19A3 showed significant differences in placental mRNA expression between controls and patients affected by PE and/or IUGR. Subsequent gene expression analysis in our in-house GDM placental tissue bank is still ongoing. CONCLUSIONS: Based on our in silico analyses, literature data and first follow-up in vitro validations, we were able to define potentially interesting candidate transporters implicated in PE/IUGR or GDM. To date, additional newly defined candidate targets are being analysed on mRNA level in PE/IUGR and GDM. Subsequent analyses on protein and functional level will reveal whether these targets could be of diagnostic or therapeutical interest in these pregnancy pathologies.

Placental Uric Acid Transport System: Glucose Transporter 9 (SLC2A9)

Placental Uric Acid Transport System: Glucose Transporter 9 (SLC2A9). INTRODUCTION: Pre-eclampsia, a pregnancy-specific disease, contributes substantially to perinatal morbidity and mortality of both the mother and her child. Pre-eclampsia is often associated with high maternal urate serum levels, which in turn has been shown to play a role in the pathogenesis of this disease. The aim of this study was to investigate the glucose transporter GLUT9-mediated placental uric acid transport system. METHODS: In this study western blot, immunofluorescence techniques as well as a transepithelial transport (Transwell) model were used to assess GLUT9 protein expression and, respectively, uric acid transport activity. Electrophysiological techniques and transmission electron microscopy (TEM) were used to characterize the properties and the structure of GLUT9. RESULTS: Uric acid is transported across a BeWo choriocarcinoma cell monolayer with 530 pmol/min. We could successfully overexpress and for the first time purify the GLUT9b isoform using the Xenopus laevis oocytes expression system. Chloride seems to modulate the urate transport system. TEM revealed that GLUT9b isoform is present as monomer and dimmer in the Xenopus laevis overexpression model. A class average of all the particles allowed us to develop a first model of human GLUT9b structure, which was derived from the published crystal structure of the bacterial homologue of GLUT1-4. CONCLUSIONS: In vitro the “materno-fetal” transport of uric acid is slow indicating that in vivo the fetus might be protected from short-term fluctuations of maternal urate serum levels. The low-resolution structure obtained from TEM validates the proposed homology model regarding the structure of human GLUT9b. In ongoing studies this model is used to perform virtual screening to identify novel modulators of the urate transport system enabling the development of novel therapies in pregnancy complications.

Placental Glucose Transporter (GLUT1) Expression in Pre-Eclampsia

Placental Glucose Transporter (GLUT1) Expression in Pre- Eclampsia. INTRODUCTION: Glucose is the most important substrate for fetal growth. Indeed, there is no significant de novo glucose synthesis in the fetus and the fetal up-take of glucose rely on maternal supply and transplacental transport. Therefore, a defective placental transporter system may affect the intrauterine environment compromising fetal as well as mother well-being. On this line, we speculated that the placental glucose transport system could be impaired in pre-eclampsia (PE). METHODS: Placentae were obtained after elective caesarean sections following normal pregnancies and pre-eclamptic pregnancies. Syncytial basal membrane (BM) and apical microvillus membrane (MVM) fractions were prepared using differential ultra-centrifugation and magnesium precipitation. Protein expression was assessed by western blot. mRNA levels were quantified by quantitative real-time PCR. A radiolabeled substrate up-take assay was established to assess glucose transport activity. FACS analysis was performed to check the shape of MVM. Statistical analysis was performed using one way ANOVA test. RESULTS: GLUT1 protein levels were down-regulated (70%; P<0.01) in pre-eclamptic placentae when compared to control placentae. This data is in line with the reduced glucose up-take in MVM prepared from preeclamptic placentae. Of note, the mRNA levels of GLUT1 did not change between placentae affected by PE and normal placentae, suggesting that the levels of GLUT1 are post-transcriptionally regulated. FACS analysis on MVM vesicles from both normal placentae and pre-eclamptic placentae showed equal heterogeneity in the complexes formed. This excluded the possibility that the altered glucose up-take observed in pre-eclamptic MVM was caused by a different shape of these vesicles. CONCLUSIONS: Protein and functional studies of GLUT1 in MVM suggest that in pre-eclampsia the glucose transport between mother and fetus might be defective. To further investigate this important biological aspect we will increase the number of samples obtained from patients and use primary cells to study trans epithelial transport system in vitro.

Accumulation of FOXP3+T-cells in the tumor microenvironment is associated with an epithelial-mesenchymal-transition-type tumor budding phenotype and is an independent prognostic factor in surgically resected pancreatic ductal adenocarcinoma.

Here we explore the role of the interplay between host immune response and epithelial-mesenchymal-transition (EMT)-Type tumor-budding on the outcome of pancreatic adenocarcinoma (PDAC).CD4+, CD8+, and FOXP3+T-cells as well as iNOS+ (M1) and CD163+- macrophages (M2) were assessed on multipunch tissue-microarrays containing 120 well-characterized PDACs, precursor lesions (PanINs) and corresponding normal tissue. Counts were normalized for the percentage of tumor/spot and associated with the clinico-pathological features, including peritumoral (PTB) and intratumoral (ITB) EMT-Type tumor-budding and outcome.Increased FOXP3+T-cell-counts and CD163-macrophages and decreased CD8+T-cell-counts were observed in PDACs compared with normal tissues and PanINs (p < 0.0001). Increased peritumoral FOXP3+T-cell-counts correlated significantly with venous invasion, distant metastasis, R1-status, high-grade ITB, PTB and independently with reduced survival. Increased intratumoral FOXP3+T-cells correlated with lymphatic invasion, N1-stage, PTB and marginally with adverse outcome. High peritumoral CD163-counts correlated with venous invasion, PTB and ITB. High intratumoral CD163-counts correlated with higher T-stage and PTB.PDAC-microenvironment displays a tumor-favoring immune-cell composition especially in the immediate environment of the tumor-buds that promotes further growth and indicates a close interaction of the immune response with the EMT-process. Increased peritumoral FOXP3+T-cell density is identified as an independent adverse prognostic factor in PDAC. Patients with phenotypically aggressive PDACs may profit from targeted immunotherapy against FOXP3.

Mechanical Loading Promoted Discogenic Differentiation of Human Mesenchymal Stem Cells Incorporated in 3D-PEG Scaffolds with RhGDF5 and RGD

Hydrogels have been described as ideal scaffolds for cells of 3D tissue constructs and hold strong promises with respect to in vitro 3D-cell-culture, where cells are isolated from native extracellular matrix (ECM). Synthesized polyethyleneglycol (PEG) hydrogels are appealing with regard to potential for cell therapy or as vehicles for drug delivery or even to regenerate tissue with similar hydrogel-like properties such as the nucleus pulposus of the intervertebral disc (IVD). Here, we tested whether incorporation of RGD motive would hinder discogenic differentiation of primary bone marrow-derived human mesenchymal stem cells (hMSCs) but favor proliferation of undifferentiated hMSCs. HMSCs were embedded in +RGD containing or without RGD PEG hydrogel and pre-conditioned with or without growth and differentiation factor-5 (rhGDF-5) for 13 days. Afterwards, all hMSCs-PEG gels were subsequently cyclically loaded (15% strain, 1Hz) for 5 consecutive days in a bioreactor to generate an IVD-like phenotype. Higher metabolic activity (resazurin assay) was found in groups with rhGDF5 in both gel types with and without RGD. Cell viability and morphology measured by confocal laser microscopy and DNA content showed decreased values (~60%) after 18 days of culture. Real-time RT-PCR of an array of 15 key genes suspected to be distinctive for IVD cells revealed moderate response to rhGDF5 and mechanical loading as also shown by histology staining. Preconditioning and mechanical loading showed relatively moderate responses revealed from both RT-PCR and histology although hMSCs were demonstrated to be potent to differentiate into chondrocyte-progenitor cells in micro- mass and 3D alginate bead culture.

Bovine coccygeal intervertebral discs contain multipotent Tie2+ cells which can differentiate into osteogenic and adipogenic lineages

Question: The intervertebral disc (IVD) has a limited regenerative potential and low back pain represents a leading cause of disability [1]. IVD repair strategies require an appropriate cell source that is able to regenerate the damaged tissue such as progenitor stem cells. Recently, progenitor cells that are positive for the angiopoietin re- ceptor (Tie2) in the nucleus pulposus were identified [2]. Here we isolated primary cells from bovine IVD and sorted bovine nucleus pulposus progenitor cells (NPPC) for the marker Tie2. Furthermorewe tested whether Tie2 expressing cells can differentiate into os- teogenic and adipogenic lineages in vitro. Methods: NP cells were obtained from 1 year old bovine tails by sequential digestion with pronase for 1 h and collagenase over- night. Sorted Tie2- and Tie2+ cells were cultured in osteogenic and adipogenic medium for 3 weeks. The formed cell layers from both subpopulations were stained for calcium deposition and fat droplets. Colony forming units were prepared for both cell sus- pensions in methylcellulose-based medium and formed colonies ([10 cells) were analyzed macroscopically after 8 days. Results: After 3 weeks of culture, sorted Tie2+ cells were able to differentiate into osteocytes and adipocytes as characterized by cal- cium deposition and fat droplet formation. By contrast, Tie2- cells generated a weak staining for calcium and no fat droplets were ob- tained (Fig. 1). Sorted Tie2- and Tie2+ subpopulations of cells both formed colonies, however with different morphologies. The colonies formed from Tie2+ cells were spheroid in shape whereas those from Tie2- cells were spread and fibroblastic. Conclusion: Our data showed that Tie2+ cells of the nucleus pul- posus cells are progenitor-like cells that are able to differentiate into osteogenic and adipogenic lineages. Sorting of NPPC for Tie2 may represent a promising strategy with the potential to be used in the clinics for treatment of intervertebral disc damage. References 1. Freemont AJ (2009) The cellular pathobiology of the degenerate intervertebral disc and discogenic back pain. Rheumatology (Oxford) 48:5–10 2. Sakai D, Nakamura Y, Nakai T et al (2012) Exhaustion of nucleus pulposus progenitor cells with ageing and degeneration of the intervertebral disc. Nat Commun 3:1264 Acknowledgments: This project was funded by two projects of the Swiss National Science Foundation grant number #IZK0Z3_154384 and #310030_153411.

Reconstruction of 3D Vertebral Models from a Single 2D Lateral Fluoroscopic Image

Accurate three-dimensional (3D) models of lumbar vertebrae are required for image-based 3D kinematics analysis. MRI or CT datasets are frequently used to derive 3D models but have the disadvantages that they are expensive, time-consuming or involving ionizing radiation (e.g., CT acquisition). In this chapter, we present an alternative technique that can reconstruct a scaled 3D lumbar vertebral model from a single two-dimensional (2D) lateral fluoroscopic image and a statistical shape model. Cadaveric studies are conducted to verify the reconstruction accuracy by comparing the surface models reconstructed from a single lateral fluoroscopic image to the ground truth data from 3D CT segmentation. A mean reconstruction error between 0.7 and 1.4 mm was found.

Graphical Model-Based Vertebra Identification from X-Ray Image(s)

Automated identification of vertebrae from X-ray image(s) is an important step for various medical image computing tasks such as 2D/3D rigid and non-rigid registration. In this chapter we present a graphical model-based solution for automated vertebra identification from X-ray image(s). Our solution does not ask for a training process using training data and has the capability to automatically determine the number of vertebrae visible in the image(s). This is achieved by combining a graphical model-based maximum a posterior probability (MAP) estimate with a mean-shift based clustering. Experiments conducted on simulated X-ray images as well as on a low-dose low quality X-ray spinal image of a scoliotic patient verified its performance.

Fully Automatic CT Segmentation for Computer-Assisted Pre-operative Planning of Hip Arthroscopy

Extraction of both pelvic and femoral surface models of a hip joint from CT data for computer-assisted pre-operative planning of hip arthroscopy is addressed. We present a method for a fully automatic image segmentation of a hip joint. Our method works by combining fast random forest (RF) regression based landmark detection, atlas-based segmentation, with articulated statistical shape model (aSSM) based hip joint reconstruction. The two fundamental contributions of our method are: (1) An improved fast Gaussian transform (IFGT) is used within the RF regression framework for a fast and accurate landmark detection, which then allows for a fully automatic initialization of the atlas-based segmentation; and (2) aSSM based fitting is used to preserve hip joint structure and to avoid penetration between the pelvic and femoral models. Validation on 30 hip CT images show that our method achieves high performance in segmenting pelvis, left proximal femur, and right proximal femur surfaces with an average accuracy of 0.59 mm, 0.62 mm, and 0.58 mm, respectively.

Preliminary Study on Finite Element Simulation for Optimizing Acetabulum Reorientation after Periacetabular Osteotomy

Periacetabular osteotomy (PAO) is an effective approach for surgical treatment of hip dysplasia. The aim of PAO is to increase acetabular coverage of the femoral head and to reduce contact pressures by reorienting the acetabulum fragment after PAO. The success of PAO significantly depends on the surgeon’s experience. Previously, we have developed a computer-assisted planning and navigation system for PAO, which allows for not only quantifying the 3D hip morphology for a computer-assisted diagnosis of hip dysplasia but also a virtual PAO surgical planning and simulation. In this paper, based on this previously developed PAO planning and navigation system, we developed a 3D finite element (FE) model to investigate the optimal acetabulum reorientation after PAO. Our experimental results showed that an optimal position of the acetabulum can be achieved that maximizes contact area and at the same time minimizes peak contact pressure in pelvic and femoral cartilages. In conclusion, our computer-assisted planning and navigation system with FE modeling can be a promising tool to determine the optimal PAO planning strategy.

Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Sets

This paper proposed an automated 3D lumbar intervertebral disc (IVD) segmentation strategy from MRI data. Starting from two user supplied landmarks, the geometrical parameters of all lumbar vertebral bodies and intervertebral discs are automatically extracted from a mid-sagittal slice using a graphical model based approach. After that, a three-dimensional (3D) variable-radius soft tube model of the lumbar spine column is built to guide the 3D disc segmentation. The disc segmentation is achieved as a multi-kernel diffeomorphic registration between a 3D template of the disc and the observed MRI data. Experiments on 15 patient data sets showed the robustness and the accuracy of the proposed algorithm.

Articulated Statistical Shape Model-Based 2D-3D Reconstruction of a Hip Joint

In this paper, reconstruction of three-dimensional (3D) patient-specific models of a hip joint from two-dimensional (2D) calibrated X-ray images is addressed. Existing 2D-3D reconstruction techniques usually reconstruct a patient-specific model of a single anatomical structure without considering the relationship to its neighboring structures. Thus, when those techniques would be applied to reconstruction of patient-specific models of a hip joint, the reconstructed models may penetrate each other due to narrowness of the hip joint space and hence do not represent a true hip joint of the patient. To address this problem we propose a novel 2D-3D reconstruction framework using an articulated statistical shape model (aSSM). Different from previous work on constructing an aSSM, where the joint posture is modeled as articulation in a training set via statistical analysis, here it is modeled as a parametrized rotation of the femur around the joint center. The exact rotation of the hip joint as well as the patient-specific models of the joint structures, i.e., the proximal femur and the pelvis, are then estimated by optimally fitting the aSSM to a limited number of calibrated X-ray images. Taking models segmented from CT data as the ground truth, we conducted validation experiments on both plastic and cadaveric bones. Qualitatively, the experimental results demonstrated that the proposed 2D-3D reconstruction framework preserved the hip joint structure and no model penetration was found. Quantitatively, average reconstruction errors of 1.9 mm and 1.1 mm were found for the pelvis and the proximal femur, respectively.

3D Intervertebral Disc Localization and Segmentation from MR Images by Data-Driven Regression and Classification

In this paper we propose a new fully-automatic method for localizing and segmenting 3D intervertebral discs from MR images, where the two problems are solved in a unified data-driven regression and classification framework. We estimate the output (image displacements for localization, or fg/bg labels for segmentation) of image points by exploiting both training data and geometric constraints simultaneously. The problem is formulated in a unified objective function which is then solved globally and efficiently. We validate our method on MR images of 25 patients. Taking manually labeled data as the ground truth, our method achieves a mean localization error of 1.3 mm, a mean Dice metric of 87%, and a mean surface distance of 1.3 mm. Our method can be applied to other localization and segmentation tasks.